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Part Time Business Intelligence Jobs in Washington

PIM - Sr Databricks & Reporting Analyst

Reston, VA ยท On-site

$123K - $178K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Telework Type: Part-Time Telework * Work Location: Reston, VA * Salary Range: $123,400 - $178,500 ... business intelligence environments that align with project execution objectives. * Advanced ...

Sr. Business Analyst Part Time

Washington, DC ยท On-site

$104K - $135K/yr

  • Medical

  • Retirement

Senior Business Analysts provide leadership and technical expertise in the areas of delivering ... Provide customer relationship intelligence to Engagement Lead (Program Manager) or Project Manager.

... part-time role, to a full-time role, for well-rounded and enthusiastic candidates. While the role ... Security & Intelligence Operations * Logistical Support: Provide logistical and administrative ...

New

Pega Business Architect

Lanham, MD ยท On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

Showing results 21-40

Part Time Business Intelligence information

See Washington salary details

$33.4K

$129.4K

$189.7K

How much do part time business intelligence jobs pay per year?

As of Aug 17, 2026, the average yearly pay for part time business intelligence in Washington is $129,411.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,500.00 and $161,400.00 per year, depending on experience, location, and employer.

What is a part time business intelligence?

A Part Time Business Intelligence (BI) job involves analyzing data, creating reports, and providing insights to support business decision-making on a flexible or reduced-hour schedule. Professionals in this role use BI tools like Tableau, Power BI, or SQL to extract and visualize data. They typically work with stakeholders to identify trends, optimize processes, and improve business performance. This role is ideal for individuals seeking flexibility while leveraging their data analytics skills.

What are the key skills and qualifications needed to thrive in the part time business intelligence position?

To thrive as a Part Time Business Intelligence professional, you need strong analytical skills, familiarity with data analysis, and a background in statistics, finance, or a related field. Proficiency with tools such as SQL, Excel, Tableau, or Power BI, and sometimes certifications like Microsoft Certified: Data Analyst Associate, are commonly expected. Excellent problem-solving abilities, attention to detail, and clear communication skills help you translate data into actionable insights for various stakeholders. These competencies ensure meaningful contributions to decision-making processes and support organizational goals, even within a part-time schedule.

What are typical responsibilities for a part time business intelligence?

Part Time Business Intelligence professionals are usually responsible for gathering, organizing, and analyzing data to support business decisions and performance tracking. Their day-to-day tasks might include creating reports and dashboards, maintaining data accuracy, and collaborating with teams in marketing, sales, or operations to understand data needs. While the workload is reduced compared to a full-time role, part-time BI staff are still integral in delivering timely insights and recommendations. This role often involves regular communication with stakeholders to clarify analytics requirements and present findings.

What are the most commonly searched types of Business Intelligence jobs in Washington?

The most popular types of Business Intelligence jobs in Washington are:

What are popular job titles related to Part Time Business Intelligence jobs in Washington?

For Part Time Business Intelligence jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Part Time Business Intelligence jobs in Washington look for?

The top searched job categories for Part Time Business Intelligence jobs in Washington are:

What cities in Washington are hiring for Part Time Business Intelligence jobs?

Cities in Washington with the most Part Time Business Intelligence job openings:

Infographic showing various Part Time Business Intelligence job openings in Washington as of August 2026, with employment types broken down into 100% Part Time. Highlights an 96% In-person, 2% Hybrid, and 2% Remote job distribution, with an average salary of $129,411 per year, or $62.2 per hour.

Part-Time Lecturer - Applied Machine Intelligence (Arlington)

Northeastern University

Arlington, VA โ€ข On-site

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago


Job description

About the Opportunity
The College of Professional Studies at Northeastern University invites applications for a non-tenure track part time faculty lecturer in Applied Machine Intelligence on the Arlington Campus.
The College of Professional Studiesis one of ten colleges of Northeastern University, a nationally ranked private research university. Founded in 1960, the College provides lifelong experiential learning that unleashes the capacities of aspiring individuals in all stages and walks of life. The College teaches undergraduate, graduate, and doctoral students on campus and online in more than 90 programs.
Northeastern University will not provide H-1B, TN, O-1, E-3, or any other type of employment visa sponsorship for the successful applicant to this position, now or in the future. Furthermore, the successful applicant must be able to maintain valid work authorization in the United States throughout the entire appointment without Northeastern University's sponsorship for a visa.
Responsibilities
Qualified candidates must be prepared to work with global student populations.
The Master of Professional Studies in Applied AI is looking for part-time faculty to teach courses across the program with special emphasis on applied artificial intelligence, machine learning, natural language processing, computer vision, and experiential learning addressing business and technical challenges in industry.
Instructional areas include, but are not limited to:
  • Core AI courses: Applied Artificial Intelligence, Applied Machine Learning, Applied Natural Language Processing, Applied Computer Vision
  • Specialized areas: Deep Learning, Generative AI, Prompt Engineering, Conversational AI and Chatbots, Reinforcement Learning
  • Applied domains: Machine Learning for Cybersecurity, AI for 3D Imaging, Recommender Systems, Quantum AI, Blockchain AI, AI for Autonomous Systems
  • Foundational courses (for Connect pathway students): Python programming, Mathematical Concepts, Research Methods and Scientific Writing

The Applied AI degree is a multi-disciplinary, experience-based program that prepares professionals from diverse backgrounds to harness the transformative potential of artificial intelligence. Through courses and projects that focus on applied machine learning, AI implementation, ethical AI practices, and real-world applications, students learn to create AI solutions across manufacturing, healthcare, finance, and other industries. The program emphasizes accessibility, offering pathways for both technical and non-technical professionals to transition into AI-focused roles.
Qualifications
Minimum qualifications:
  • Terminal degree (Ph.D.) in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or an aligned discipline
  • Demonstrated professional experience implementing AI/ML solutions in industry settings
  • Proficiency in Python and modern AI/ML frameworks (TensorFlow, PyTorch, scikit-learn, or similar)

Strongly preferred:
  • 5+ years of professional experience in AI/ML development, implementation, or strategy roles
  • Demonstration of teaching, coaching, and/or training experience with a history of successful teaching (online/on-ground) at the graduate level strongly preferred
  • Experience teaching adult learners or working professionals
  • Expertise in one or more specialized areas: natural language processing, computer vision, generative AI, deep learning, conversational AI, reinforcement learning, or AI applications in specific domains (cybersecurity, 3D imaging, autonomous systems)
  • Understanding of AI ethics, governance, and responsible AI practices
  • Ability to make complex AI concepts accessible to learners from diverse academic backgrounds

Application Materials
Applicants should submit materials including a cover letter and vitae.
Successful faculty at Northeastern will be dynamic and innovative scholars with a record of teaching excellence and a commitment to fostering belonging in the university community. Thus, strong candidates for this faculty position will have the expertise, knowledge, and skills to build their pedagogy, and curriculum in ways that reflect and enhance this commitment. Please indicate how your expertise, knowledge, and skills have prepared you to contribute to this work in your cover letter.
Please direct questions to John Wilder at j.wilder@northeastern.edu.
Applications will be reviewed until the position is filled.
Position Type
Academic
Additional Information
Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.
Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.
All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.
Pay Range:
The per credit rate is $1,569.00.